docstr: Prepare log-magnitude spectral features expected by perceptual model
docstr_tok: ["Prepare","log-magnitude","spectral","features","expected","by","perceptual","model"]
code: def prepare_feats(self, wavs):
      """Prepare log-magnitude spectral features expected by perceptual model"""
      stft = self.hparams.compute_stft(wavs)
      feats = self.hparams.spectral_magnitude(stft)
      feats = torch.log1p(feats)
      return feats
  
imports: import os
  import sys
  import torch
  import torchaudio
  import logging
  import speechbrain
  from pesq import pesq
  from pystoi import stoi
  from composite_eval import eval_composite
  from hyperpyyaml import load_hyperpyyaml
  from speechbrain.utils.data_utils import undo_padding
  from speechbrain.utils.distributed import run_on_main, if_main_process
label_desc: Use image node_id 3 for calling the MTLbrain obj's underlying member method code with example usage: obj.prepare_feats(wavs) and returns: feats